NDLI: A modified computational model of ant colony system in DNA sequence design

Content Provider	IEEE Xplore Digital Library
Author	Mustaza, S.M. Abidin, A.F.Z. Ibrahim, Z. Shamsudin, M.A. Husain, A.R. Mukred, J.A.A.
Copyright Year	2011
Description	Author affiliation: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia (Mustaza, S.M.; Abidin, A.F.Z.; Ibrahim, Z.; Shamsudin, M.A.; Husain, A.R.; Mukred, J.A.A.)
Abstract	Many studies have focused in designing a set of good DNA sequences as it is one of the crucial tools in improving the reliability and efficiency of DNA computing. In this paper, an improved model of Ant Colony System is developed in optimizing DNA sequences design. The proposed model suggests that each artificial ant represents a possible solution of the DNA sequences design problem. This differs from the previous Ant Colony System approached where a number of artificial ants are required to represent a possible solution. In the implementation, four objective measures and two constraint measures are employed to obtain a good set of DNA sequences. The performance of the proposed model is evaluated by comparing the result with existing Ant Colony System model and other published sequence design method. The experimental result shows that the proposed Ant Colony System model outperformed the existing Ant Colony System model.
Starting Page	169
Ending Page	173
File Size	794386
Page Count	5
File Format	PDF
ISBN	9781467300995
e-ISBN	9781467301022
DOI	10.1109/SCOReD.2011.6148729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-19
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer science computational intelligence ant colony system DNA sequences design Computational modeling optimization DNA Reliability Optimization DNA computing
Content Type	Text
Resource Type	Article

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